primingHeid {languageR} | R Documentation |
Primed lexical decision latencies for Dutch neologisms ending in the suffix -heid.
data(primingHeid)
A data frame with 832 observations on the following 13 variables.
Subject
Word
Trial
RT
Condition
baseheid
(prime is the base word) and
heid
(the prime is the neologism)Rating
Frequency
BaseFrequency
LengthInLetters
FamilySize
NumberOfSynsets
ResponseToPrime
correct
and
incorrect
for the response to the prime.RTtoPrime
De Vaan, L., Schreuder, R. and Baayen, R. H. (2007) Regular morphologically complex neologisms leave detectable traces in the mental lexicon, The Mental Lexicon, 2, in press.
## Not run: data(primingHeid) library(lme4, keep.source=FALSE) primingHeid.lmer = lmer(RT ~ RTtoPrime * ResponseToPrime + Condition + (1|Subject) + (1|Word), data = primingHeid) pvals.fnc(primingHeid.lmer)$summary # model criticism primingHeid.lmer = lmer(RT ~ RTtoPrime * ResponseToPrime + Condition + (1|Subject) + (1|Word), data = primingHeid[abs(scale(resid(primingHeid.lmer)))<2.5,]) pvals.fnc(primingHeid.lmer)$summary ## End(Not run)